Ocean vortex three-dimensional temperature-salt density reconstruction method and system based on physical constraint

Abstract

The invention discloses a physical constraint-based ocean vortex three-dimensional temperature-salinity density reconstruction method and system, and the method comprises the steps: constructing a vertical distribution model of vortex density through integrating climate state temperature-salinity data, sea surface height, temperature, salinity observation data and other multi-source information, and employing a physical constraint condition and a vertical modal structure of vortex, thereby achieving the reconstruction of the ocean vortex three-dimensional temperature-salinity density. And further calculating the temperature-salt vertical structure of the vortex, and correcting a reconstruction result in combination with sea surface observation data, thereby realizing reconstruction of the vortex three-dimensional temperature-salt density structure. According to the method, vortex feature recognition and vortex high-precision three-dimensional temperature-salinity density reconstruction can be quickly realized by only observing sea surface height, temperature and salinity data in combination with historical data.

Description

Technical Field

[0001] The present invention relates to the three-dimensional reconstruction technology of ocean vortices, in particular to a method and system for reconstructing the three-dimensional temperature, salinity, and density of ocean vortices with physical constraints. Background Art

[0002] Ocean vortices play an important role in ocean dynamics, having a profound impact on climate change, material transport, and the marine ecosystem. However, due to the limitations of existing observation means, current research on the three-dimensional structure of vortices mainly relies on in-situ measurement data. Although in-situ measurement can provide fine local information of vortices, it is usually only applicable to the study of individual vortices and is difficult to meet the needs of large-scale and long-term series of vortex research. In addition, the in-situ measurement process is time-consuming and costly, and obtaining the complete three-dimensional structure of vortices remains a major challenge in current scientific research.

[0003] In recent years, with the rapid development of satellite remote sensing technology, the acquisition of sea surface data has become more efficient and convenient. Satellite remote sensing can provide real-time or quasi-real-time sea surface information with a wide coverage range, high spatial resolution, and strong time continuity. However, most studies mainly analyze vortex characteristics based on these sea surface data, lacking in-depth characterization of the vertical structure of vortices. Therefore, the method that solely relies on sea surface data cannot meet the requirement of accurately restoring the three-dimensional structure inside vortices. Summary of the Invention

[0004] Object of the Invention: The object of the present invention is to provide a method and system for reconstructing the three-dimensional temperature, salinity, and density of ocean vortices with physical constraints, so as to solve the problem that relying on sea surface data cannot accurately restore the three-dimensional structure inside vortices.

[0005] Technical Solution: The method for reconstructing the three-dimensional temperature, salinity, and density of ocean vortices based on physical constraints according to the present invention is characterized by including the following steps: (1) Collect climatological data and sea surface observation data, and identify the vortex region; the climatological data are historical sea surface height, temperature, salinity, and density, and the sea surface observation data are real-time observed sea surface height, temperature, salinity, and density; (2) For each grid point within the vortex region, calculate the vertical pressure anomaly structure of the vortex, and calculate the vertical density structure of the vortex according to the vertical pressure anomaly structure of the vortex and the vertical density structure of the climatology; use the coordinate mapping of the vertical density structure of the vortex and the vertical density structure of the climatology to interpolate the vertical temperature structure of the climatology and the vertical salinity structure of the climatology to obtain the vertical temperature structure of the vortex and the vertical salinity structure of the vortex; (3) Linearly interpolate the sea surface observation data and the reconstructed data at the bottom of the mixed layer to obtain the vertically corrected temperature structure, the vertically corrected salinity structure, and the vertically corrected density structure respectively; use the vertically corrected temperature structure, the vertically corrected salinity structure, and the vertically corrected density structure to correct the vertically structured temperature, the vertically structured density, and the vertically structured salinity of the vortex, and obtain the corrected vertically structured temperature, the vertically structured density, and the vertically structured salinity. The reconstructed data at the bottom of the mixed layer is: select the mixed layer depth according to the temperature threshold , is the m-th vertical grid point in the vortex region, m ∈ 1~N; the correction method is: replace the vertically structured temperature, the vertically structured density, and the vertically structured salinity at the 1st to m-th vertical grid points with the corresponding vertically corrected temperature structure, the vertically corrected salinity structure, and the vertically corrected density structure respectively.

[0006] Further, in step (2), the vertically structured vortex pressure anomaly is , where the first two solutions are obtained by solving the characteristic equation of the vertically structured vortex mode and , , are the mode coefficients.

[0007] Further, substitute the pressure data at and into the vertically structured vortex pressure anomaly, and solve the simultaneous equations to obtain and ; among them, at is obtained by observing the sea surface pressure anomaly, at is 0, is the depth affected by the vortex.

[0008] Further, in step (2), the vertically structured vortex density , where is the reference density, is the acceleration due to gravity, is the Coriolis parameter, is the sea surface height, is the vertically structured vortex pressure anomaly.

[0009] Further, in step (2), the vertically structured vortex density is superimposed with the climatological vertically structured density to obtain the vertically structured vortex density , .

[0010] Further, in step (2), the interpolation of the climatological temperature vertical structure and the climatological salinity vertical structure to obtain the eddy temperature vertical structure and the eddy salinity vertical structure by using the coordinate mapping between the eddy density vertical structure and the climatological density vertical structure includes the following steps: Establish the eddy density vertical structure and the coordinate mapping relationship with the climatological density vertical structure . The method for establishing the coordinate mapping relationship is as follows: At the vertical grid points in the eddy region , use the interpolation method to determine the vertical coordinate of the density at each grid point on . ; Interpolate the climatological temperature vertical structure onto , and then perform the inverse mapping according to the said coordinate mapping relationship to obtain the eddy temperature vertical structure at the vertical grid points in the eddy region; Interpolate the climatological salinity vertical structure onto , and then perform the inverse mapping according to the said coordinate mapping relationship to obtain the eddy salinity vertical structure at the vertical grid points in the eddy region.

[0011] Further, in step (3), the method for selecting the mixed layer depth according to the temperature threshold is as follows: Extract the depth where the temperature is reduced by a certain threshold from the sea surface temperature, and select the last grid point less than in the vertical grid points in the eddy region as .

[0012] The ocean eddy three-dimensional temperature-salinity-density reconstruction system based on physical constraints of the present invention includes: An eddy region identification unit, configured to collect climatological data and sea surface observation data and identify the eddy region; the climatological data is historical sea surface height, temperature, salinity and density, and the sea surface observation data is real-time observed sea surface height, temperature, salinity and density; A temperature-salinity-density reconstruction unit, for each grid point in the eddy region, configured to calculate the eddy vertical pressure anomaly structure, and calculate the eddy density vertical structure according to the eddy vertical pressure anomaly structure and the climatological density vertical structure; use the coordinate mapping between the eddy density vertical structure and the climatological density vertical structure to interpolate the climatological temperature vertical structure and the climatological salinity vertical structure to obtain the eddy temperature vertical structure and the eddy salinity vertical structure; A temperature-salinity-density reconstruction correction unit is configured to perform linear interpolation on sea surface observation data and reconstructed data at the bottom of the mixed layer to respectively obtain a corrected vertical temperature structure, a corrected vertical salinity structure, and a corrected vertical density structure; and correct the vertical temperature structure of the vortex, the vertical density structure of the vortex, and the vertical salinity structure of the vortex by using the corrected vertical temperature structure, the corrected vertical salinity structure, and the corrected vertical density structure to obtain a corrected vertical temperature structure, a corrected vertical density structure, and a corrected vertical salinity structure. Wherein the reconstructed data at the bottom of the mixed layer is: the depth of the mixed layer is selected according to a temperature threshold. , is the m-th vertical grid point within the vortex region, where m ∈ 1~N; the correction method is: replacing the vertical temperature structure of the vortex, the vertical density structure of the vortex, and the vertical salinity structure of the vortex at the 1st to m-th vertical grid points with the corresponding corrected vertical temperature structure, corrected vertical salinity structure, and corrected vertical density structure respectively.

[0013] The computer-readable storage medium of the present invention stores a computer program, and when the computer program is executed by a processor, it implements the method for three-dimensional temperature-salinity-density reconstruction of ocean vortices based on physical constraints.

[0014] Beneficial effects: Compared with the prior art, the advantages of the present invention are as follows: Only the observed sea surface height, temperature, and salinity data are required, combined with historical data, to quickly achieve vortex feature recognition and high-precision three-dimensional temperature-salinity-density reconstruction of vortices. Specifically, the following effects are achieved:

[0015] (1) Improve the reconstruction accuracy: Based on the vertical modal structure of the vortex and physical constraint conditions, construct the vertical density distribution, and further calculate the temperature and salinity distributions. At the same time, combined with the observed sea surface temperature and salinity data, achieve high-precision reconstruction of the three-dimensional structure of the vortex.

[0016] (2) Enhance the spatio-temporal coverage ability: By integrating climatological data and satellite sea surface remote sensing observation data, significantly improve the adaptability of the model to large-scale and long-time series vortex processes.

[0017] (3) Reduce the research cost: Compared with the traditional method that relies on in-situ measurements, the present invention utilizes satellite sea surface observations and climatological data resources, reducing the time and economic costs of in-situ sampling, and providing an efficient and practical solution.

[0018] (4) Wide application prospects: This method not only helps to deeply understand the internal structure of the vortex and its dynamic mechanism, but also can be applied to multiple fields such as ocean forecasting, ecological protection, and resource development, having important scientific value and practical significance. Description of the Drawings

[0019] Figure 1Flow chart of the vortex three-dimensional temperature-salinity-density reconstruction method of the present invention.

[0020] Figure 2 Schematic diagram of the sea surface height anomaly, the identified vortex boundary, and the grid points inside the vortex in the embodiment of the present invention.

[0021] Figure 3 Schematic diagram of the vortex three-dimensional temperature-salinity-density reconstruction result and comparison in the embodiment of the present invention. Detailed implementation manners

[0022] The technical core of the present invention includes the following three aspects: (1) Multi-source data fusion: Comprehensively utilize climatological data and sea surface observation data, and combine information from various observation means to provide comprehensive input data for the model; (2) Vertical mode construction based on physical constraints: By analyzing the vertical mode structure of the vortex and introducing sea surface and deep pressure anomalies as constraint conditions, determine the mode coefficients to accurately depict the vertical distribution of density; (3) Vortex three-dimensional temperature-salinity-density reconstruction: On the basis of the density structure, further calculate the temperature-salinity distribution of the vortex, and correct the reconstruction result by combining the observed sea surface temperature and salinity, and finally generate a complete three-dimensional temperature-salinity-density model, providing technical support for the comprehensive understanding of the internal structure of the vortex and the research on its dynamic evolution.

[0023] The present invention fully combines physical constraints and multi-source data, providing an innovative solution for accurately reconstructing the three-dimensional structure of the vortex. The technical solution of the present invention will be further described below with reference to the accompanying drawings. As Figure 1 shown, the three-dimensional temperature-salinity-density reconstruction method of the ocean vortex based on physical constraints includes the following steps.

[0024] Step 1, Data collection and preprocessing.

[0025] Step 1.1, Collect climatological data. The required climatological data includes sea surface height, temperature, salinity, and density at the sea surface and below the sea surface. These data can be extracted from existing climatological databases (such as WOA, ARMOR3D, AVISO data, etc.), or can be obtained by calculating the monthly average (or annual average) from other reanalysis data.

[0026] Step 1.2, Collect sea surface observation data. In this embodiment, the sea surface temperature and salinity are taken from the ARMOR3D database, the sea surface height data is taken from AVISO, and the sea surface height anomaly caused by the vortex is the observed sea surface height minus the climatological sea surface height.

[0027] Step 2, Vortex feature identification.

[0028] Step 2.1, Vortex center identification: For the sea surface height anomaly data with an AVISO spatial resolution of 1 / 4º×1 / 4º, a 5×5 grid point window is scanned to find the extreme points. The maximum point is the potential center of the anticyclonic vortex, and the minimum point is the potential center of the cyclonic vortex.

[0029] Step 2.2, Vortex boundary identification: Starting from the sea surface height anomaly at the vortex center, the value of the sea surface height anomaly is gradually increased (for cyclonic vortices) or decreased (for anticyclonic vortices) outward (the change step can be taken as 0.001 m) until the outermost isocline only contains a single vortex center. At this time, this isocline is the vortex boundary.

[0030] Step 3, Calculation of the vertical mode of the vortex.

[0031] Step 3.1, Construction of the vertical mode: The vertical mode of the vortex satisfies the characteristic equation:

[0032] (1)

[0033] where is the eigenvalue, is the Coriolis parameter, is the buoyancy frequency, which is calculated from the climatological sea water temperature and salinity. Solving formula (1) can obtain a series of vertical mode functions .

[0034] Step 3.2, Extraction of the mode function: Select the first two vertical mode functions to describe the vertical structure characteristics of the vortex. The vertical pressure anomaly structure of the vortex can be expressed as:

[0035] (2)

[0036] where, and are the first two mode functions respectively, , are the mode coefficients to be determined.

[0037] Step 4, Determination of the vertical mode coefficients of the vortex.

[0038] Step 4.1, Sea surface pressure anomaly condition: Using the sea surface pressure anomaly data of the vortex and substituting it into formula (2) to obtain the equation:

[0039] (3)

[0040] Step 4.2, Deep pressure anomaly condition: In this embodiment, it is assumed that the influence depth of the vortex is 2000 m, that is, the pressure anomaly at this depth of the vortex is zero, then there is the equation

[0041] (4)

[0042] In different sea areas and seasons, more accurate values of the influence depth of vortices can be given by historical observation data.

[0043] Step 4.3, Modal coefficient calculation: Solving the linear equations (3) and (4), the modal coefficients 、 。

[0044] Step 5, Three-dimensional temperature, salinity and density reconstruction of vortices.

[0045] Step 5.1, Reconstruction of the vertical structure of vortex density: Using formula (2) and the obtained modal coefficients 、 The vertical pressure anomaly structure of the vortex can be obtained, and then the vertical structure of the vortex density anomaly is calculated:

[0046] (5)

[0047] where is the reference density, is the acceleration of gravity.

[0048] Step 5.2, Reconstruction of the vertical density structure: The vertical density structure of the vortex is superimposed on the vertical density structure of the climatology to obtain the vertical density structure of the vortex :

[0049] (6)

[0050] Step 5.3, Reconstruction of the vertical temperature and salinity structures: Using the and coordinate relationship and the vertical temperature structure of the climatology and the vertical salinity structure of the climatology , the vertical temperature structure and the vertical salinity structure are calculated.

[0051] First, establish the and coordinate mapping relationship , that is, if the vertical grid point coordinates of the data are , use the interpolation method to determine the vertical coordinate of the density at each grid point on ,

[0052] (7)

[0053] Thus, the original grid point coordinates are obtained. .

[0054] Using the above coordinate mapping relationship , and the determined vertical grid point coordinates , the vertical structure of the climatological temperature is interpolated to :

[0055] (8)

[0056] Then, through the inverse mapping of the coordinate mapping relationship , that is, the inverse mapping , the vertical temperature structure on the vertical grid points is obtained: :

[0057] (9)

[0058] Similarly, the vertical structure of the climatological salinity is interpolated to :

[0059] (10)

[0060] Then, through the inverse mapping of the coordinate mapping relationship , that is, the inverse mapping , the vertical salinity structure on the vertical grid points is obtained:

[0061] (11)

[0062] Step 5.4, correction of the vertical structures of temperature, salinity, and density. Using the sea surface observed temperature and salinity data, correct the reconstructed temperature, salinity, and density structures in the mixed layer.

[0063] First, adopt the temperature threshold method for the vertical structure of the climatological temperature , extract the depth at which the mixed layer depth is a certain threshold (such as 0.8 °C) lower than the sea surface temperature, that is:

[0064] (12)

[0065] According to the characteristics of the vertical grid points, select the last one less than in as the mixed layer depth.

[0066] The vertical temperature structure is corrected using the following formula:

[0067] (13)

[0068] From the sea surface observed temperature and the reconstructed temperature at the bottom of the mixed layer calculated by linear interpolation

[0069] (14)

[0070] The vertical structure of salinity is corrected by the following formula:

[0071] (15)

[0072] From the sea surface observed salinity and the reconstructed salinity at the bottom of the mixed layer calculated by linear interpolation

[0073] (16)

[0074] The vertical structure of density is corrected by the following formula:

[0075] (17)

[0076] From the sea surface observed density and the reconstructed density at the bottom of the mixed layer calculated by linear interpolation:

[0077] (18)

[0078] where the sea surface observed density is calculated from the sea surface observed temperature and the sea surface observed salinity using the seawater equation of state.

[0079] Finally, the corrected temperature 、salinity 、density vertical structures are obtained, 。

[0080] Step 5.5, repeat Steps 3.1 - 5.4 for each grid point position within the identified vortex region to obtain the three-dimensional temperature, salinity, and density structures of the entire vortex region.

[0081] The method described in the present invention is verified by specific experiments below.

[0082] In this experiment, for the sea surface height anomaly data with an AVISO spatial resolution of 1 / 4º×1 / 4º, a 5×5 grid point window was scanned to find the extreme points. The maximum points were the potential centers of anticyclonic vortices, and the minimum points were the potential centers of cyclonic vortices. Starting from the sea surface height anomaly at the vortex center, the value of the sea surface height anomaly was gradually increased (for cyclonic vortices) or decreased (for anticyclonic vortices) outward (with a change step of 0.001 m) until the outermost isoline only contained a single vortex center. At this time, this isoline was the vortex boundary. As Figure 2 shown is the sea surface height anomaly in the sea area and the identified vortex boundary.

[0083] The grid points within the vortex were numbered, and the vertical structures of temperature, salinity, and density at each grid point were reconstructed respectively, and finally the three-dimensional temperature, salinity, and density structure of the entire vortex was obtained. As Figure 3 shown is the schematic diagram of the three-dimensional temperature, salinity, and density reconstruction results of the vortex in this experiment (section through grid points 21 - 28). Among them, (a) is the density anomaly field of the reconstruction result; (b) is the salinity anomaly field of the reconstruction result; (c) is the temperature anomaly field of the reconstruction result; (d) is the density anomaly field of the ARMOR3D data; (e) is the salinity anomaly field of the ARMOR3D data; (f) is the temperature anomaly field of the ARMOR3D data. Comparing the result images of this experiment with the ARMOR3D data images, the vertical structures of density, salinity, and temperature anomalies in this experiment are basically consistent with the ARMOR3D data in terms of spatial morphology and magnitude. The present invention can accurately reconstruct the three-dimensional density, salinity, and temperature structures of the vortex. The three-dimensional temperature, salinity, and density reconstruction system of ocean vortices based on physical constraints described in the present invention includes: A vortex region identification unit for collecting climatological data and sea surface observation data to identify the vortex region; the climatological data being historical sea surface height, temperature, and salinity, and the sea surface observation data being real-time observed temperature, salinity, and density; A temperature, salinity, and density reconstruction unit for calculating the vertical pressure anomaly structure of the vortex for each grid point within the vortex region, and calculating the vertical density structure of the vortex according to the vertical pressure anomaly structure of the vortex and the climatological density vertical structure; using the coordinate mapping of the vertical density structure of the vortex and the climatological density vertical structure to interpolate the climatological temperature vertical structure and the climatological salinity vertical structure to obtain the vertical temperature structure and the vertical salinity structure of the vortex; A temperature, salinity, and density reconstruction correction unit for linearly interpolating the sea surface observation data and the reconstructed data at the bottom of the mixed layer to obtain the corrected vertical structures of temperature, salinity, and density respectively; using the corrected vertical structures of temperature, salinity, and density to correct the vertical temperature structure, the vertical density structure, and the vertical salinity structure of the vortex to obtain the corrected vertical structures of temperature, density, and salinity; Among them, the reconstructed data at the bottom of the mixed layer is: select the depth of the mixed layer according to the temperature threshold , is the m-th vertical grid point in the vortex region, m ∈ 1~N; the correction method is: replace the vertical structures of vortex temperature, vortex density, and vortex salinity at the 1st to m-th vertical grid points with the corresponding corrected vertical structures of temperature, salinity, and density respectively.

[0084] The computer-readable storage medium of the present invention stores a computer program, and when the computer program is executed by a processor, it implements the method for reconstructing the three-dimensional temperature, salinity, and density of ocean vortices based on physical constraints.

[0085] The computer-readable storage medium may include RAM, ROM, EEPROM, CD-ROM or other optical disc storage devices, magnetic disk storage devices or other magnetic storage devices, flash memory or any other medium that can store program code in the form of instructions or data structures and can be accessed by a computer.

[0086] The processor is used to execute the computer program stored in the memory to implement each step in the method described in the above embodiments.

Claims

1. A three-dimensional temperature-salinity-density reconstruction method for ocean vortices based on physical constraints, characterized in that, It includes the following steps: (1) Collect climatological data and sea surface observation data, and identify the vortex region; the climatological data are historical sea surface height, temperature, salinity, and density, and the sea surface observation data are real-time observed sea surface height, temperature, salinity, and density; (2) For each grid point within the vortex region, calculate the vertical pressure anomaly structure of the vortex, and calculate the vertical density structure of the vortex based on the vertical pressure anomaly structure of the vortex and the vertical density structure of the climatology; use the coordinate mapping of the vertical density structure of the vortex and the vertical density structure of the climatology to interpolate the vertical temperature structure of the climatology and the vertical salinity structure of the climatology to obtain the vertical temperature structure of the vortex and the vertical salinity structure of the vortex; (3) Perform linear interpolation on the sea surface observation data and the reconstructed data at the bottom of the mixed layer to obtain the corrected vertical temperature structure, the corrected vertical salinity structure, and the corrected vertical density structure respectively; use the corrected vertical temperature structure, the corrected vertical salinity structure, and the corrected vertical density structure to correct the vertical temperature structure of the vortex, the vertical density structure of the vortex, and the vertical salinity structure of the vortex to obtain the corrected vertical temperature structure, the corrected vertical density structure, and the corrected vertical salinity structure; Among them, the reconstructed data at the bottom of the mixed layer are: the depth of the mixed layer is selected according to the temperature threshold , is the m-th vertical grid point in the vortex region, where m ∈ 1~N; the correction method is: the vertical structures of vortex temperature, vortex density, and vortex salinity at the 1st to m-th vertical grid points are respectively replaced by the corresponding corrected vertical structures of temperature, salinity, and density 2. The three-dimensional temperature-salinity-density reconstruction method for ocean vortices based on physical constraints according to claim 1, wherein In step (2), the vertical pressure anomaly structure of the vortex is , where the first two solutions are obtained by solving the characteristic equation of the vertical mode of the vortex and , 、 are modal coefficients.

3. The three-dimensional temperature, salinity and density reconstruction method of ocean vortices based on physical constraints according to claim 2, wherein Substitute the pressure data at and into the vertical pressure anomaly structure of the vortex, and solve the simultaneous equations to obtain and ; where at is obtained by observing the sea surface pressure anomaly, at is 0, and is the vortex influence depth.

4. The three-dimensional temperature, salinity and density reconstruction method of ocean vortices based on physical constraints according to claim 1, characterized in that In step (2), the vertical structure of vorticity density , where is the reference density, is the acceleration due to gravity, is the Coriolis parameter, is the sea surface height, is the anomalous vertical pressure structure of the vortex.

5. The three-dimensional temperature-salinity-density reconstruction method of ocean vortices based on physical constraints according to claim 1, characterized in that, In step (2), the vertical structure of the vortex density is superimposed on the vertical structure of the climatological density to obtain the vertical structure of the vortex density , .

6. The three-dimensional temperature-salinity-density reconstruction method of ocean vortices based on physical constraints according to claim 1, wherein In step (2), the interpolation of the vertical temperature structure of the climatology and the vertical salinity structure of the climatology by using the coordinate mapping of the vertical density structure of the vortex and the vertical density structure of the climatology to obtain the vertical temperature structure of the vortex and the vertical salinity structure of the vortex includes the following steps: Establish the vertical structure of vorticity density and the vertical structure of climatological density coordinate mapping relationship , the method for establishing the coordinate mapping relationship is as follows: at the vertical grid points in the vortex region , use the interpolation method to determine the density at each grid point in the vertical coordinate , ; Interpolate the vertical structure of the climatological temperature to above, and then perform inverse mapping according to the coordinate mapping relationship to obtain the vertical structure of the vortex temperature at the vertical grid points in the vortex region; Interpolate the climatological salinity vertical structure to above, and then perform inverse mapping according to the coordinate mapping relationship to obtain the vertical structure of the vortex salinity at the vertical grid points in the vortex region.

7. The three-dimensional temperature, salinity and density reconstruction method of ocean vortices based on physical constraints according to claim 1, characterized in that In step (3), the method of selecting the mixed layer depth according to the temperature threshold is as follows: extract the depth at which the temperature is lower than the sea surface temperature by a certain threshold , and select the last grid point less than from the vertical grid points in the vortex region as . .

8. A three-dimensional temperature, salinity, and density reconstruction system for ocean vortices based on physical constraints, characterized in that, It includes: A vortex region identification unit for collecting climatological data and sea surface observation data and identifying the vortex region; the climatological data are historical sea surface height, temperature, salinity, and density, and the sea surface observation data are real-time observed sea surface height, temperature, salinity, and density; A temperature, salinity, and density reconstruction unit for, for each grid point within the vortex region, calculating the vertical pressure anomaly structure of the vortex, and calculating the vertical density structure of the vortex based on the vertical pressure anomaly structure of the vortex and the vertical density structure of the climatology; using the coordinate mapping of the vertical density structure of the vortex and the vertical density structure of the climatology to interpolate the vertical temperature structure of the climatology and the vertical salinity structure of the climatology to obtain the vertical temperature structure of the vortex and the vertical salinity structure of the vortex; A temperature, salinity, and density reconstruction correction unit for performing linear interpolation on the sea surface observation data and the reconstructed data at the bottom of the mixed layer to obtain the corrected vertical temperature structure, the corrected vertical salinity structure, and the corrected vertical density structure respectively; using the corrected vertical temperature structure, the corrected vertical salinity structure, and the corrected vertical density structure to correct the vertical temperature structure of the vortex, the vertical density structure of the vortex, and the vertical salinity structure of the vortex to obtain the corrected vertical temperature structure, the corrected vertical density structure, and the corrected vertical salinity structure; Among them, the reconstructed data at the bottom of the mixed layer are: select the depth of the mixed layer according to the temperature threshold , is the m-th vertical grid point in the vortex region, m ∈ 1~N; the correction method is: replace the vertical structures of vortex temperature, vortex density, and vortex salinity at the 1st to m-th vertical grid points with the corresponding corrected vertical structures of temperature, salinity, and density, respectively.

9. An electronic device, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, When the computer program is loaded into the processor, it implements the three-dimensional temperature, salinity, and density reconstruction method of ocean vortices based on physical constraints according to any one of claims 1-7.

10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the three-dimensional temperature, salinity, and density reconstruction method of ocean vortices based on physical constraints according to any one of claims 1-7.

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